"It's clear your company needs to accelerate its AI adoption. What's less clear is how to do that without it being a free-for-all. After all, your best employees aren't waiting on you to establish standards; they're already actively using AI. Yes, your developers are feeding code into ChatGPT regardless of any policy you may be planning. Recent surveys suggest developers are adopting AI faster than their leaders can standardize it; that gap, not developer speed, is the real risk."
"The temptation for a platform team is to see this chaos and react by building a gate. "Stop! No one moves forward until we have built the official enterprise AI platform." They'll then spend 18 months evaluating vendors, standardizing on a single large language model (LLM), and building a monolithic, prescribed workflow. Good luck with that. By the time they launch that one true platform to rule them all, it will be hopelessly obsolete."
Developers are rapidly adopting AI tools regardless of organizational policy, feeding code into ChatGPT and creating an 'AI velocity gap' between teams moving fast and leadership delaying standardization. Shadow IT reappears powered by corporate data, increasing risk. Unfettered developer freedom and multicloud choices have historically caused tech sprawl, interoperability failures, and cost overruns. Central platform teams often respond by gating progress and building monolithic enterprise AI platforms, spending long evaluation periods, standardizing on a single LLM, and risking obsolescence before adoption. A better approach treats an AI platform as composable services and APIs to guide innovation without stifling it.
Read at InfoWorld
Unable to calculate read time
Collection
[
|
...
]